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Remote Spatial Reasoning Jobs in Seattle, WA (NOW HIRING)

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

... Spatial Intelligence. Duranta's founding team have built unicorns, had successful exits and ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

Remote Spatial Reasoning information

What are the key skills and qualifications needed to thrive as a Remote Spatial Analyst, and why are they important?

To thrive as a Remote Spatial Analyst, you need expertise in spatial analysis, geographic information systems (GIS), and a solid foundation in geography, cartography, or a related field, often supported by relevant degrees or certifications. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and data visualization platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interpret spatial data and convey findings to diverse stakeholders. These competencies are essential for producing accurate spatial insights that inform decision-making in fields like urban planning, environmental management, and logistics.

What is a remote spatial reasoning job?

A remote spatial reasoning job involves tasks that require the ability to visualize and manipulate objects or data in space, often from a remote or work-from-home setting. These jobs can be found in fields like architecture, engineering, data analysis, or game design, where understanding spatial relationships is crucial. Remote workers use specialized software and tools to solve problems, design layouts, or analyze spatial data without being physically present at a worksite. Strong spatial reasoning skills help professionals interpret maps, create 3D models, or optimize workflows. These roles typically require a combination of technical expertise and the ability to work independently.

What are some common challenges faced when working remotely in a spatial reasoning role, and how can they be addressed?

Working remotely in a spatial reasoning role often involves collaborating on complex, visual tasks such as 3D modeling, design, or data interpretation. Common challenges include limited access to high-performance computing resources, potential miscommunication due to lack of in-person interaction, and difficulties in sharing large visual files or models. To address these challenges, teams often use cloud-based collaboration platforms, schedule regular video meetings to clarify concepts, and establish clear file-sharing protocols. Leveraging specialized software that supports remote teamwork can also help maintain productivity and ensure everyone stays aligned.
What job categories do people searching Remote Spatial Reasoning jobs in Seattle, WA look for? The top searched job categories for Remote Spatial Reasoning jobs in Seattle, WA are:
Infographic showing various Remote Spatial Reasoning job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Computer Vision Engineer

Duranta

Seattle, WA • On-site, Remote

$160K - $275K/yr

Full-time

Posted 27 days ago


Job description

ABOUT DURANTA & WHAT WE'RE LOOKING FOR

Duranta is an applied AI lab changing the way the world sees the world. Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D, redefining how industries interact with the physical world through Artificial Spatial Intelligence.  Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join our team.

Who you'll be working with:

  • Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH)
  • Dr. Romann Bachmann - maker of MultiMAE, collaborator on MODUS, winner young investigator award
  • A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU and NYU

You will also work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from optical imagery.

RESPONSIBILITIES & FOCUS AREAS
  • Building the components of a state-of-the-art computer vision pipeline for our AI system
  • Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
  • Run experiments at scale with deep learning frameworks like PyTorch 
  • Develop and maintain clean, modular ML infrastructure
  • Collaborate on model deployment and inference optimizations
  • Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
YOU WILL THRIVE IF YOU HAVE
  • Have 5+ years experience in ML / deep learning, ideally in Computer Vision
  • Have strong coding ability (Python, PyTorch) 
  • Have trained segmentation/detection models on real-world data at scale
  • Have experience with generative modeling and large foundation models
  • Have worked in startups or fast-moving teams and can wear many hats
AND FOR EXTRA CREDIT...
  • Experience with high-res aerial/remote sensing imagery and LiDAR
  • Experience with self-supervised and weakly-supervised learning
  • Knowledge of 3D, CAD and computer graphics
  • Experience with cloud computing (e.g., AWS)
DURANTA VALUES
  • API = Assume Positive Intent. Our company, your relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
  • Speed is the Essence. We are in a hurry to make a difference.
  • Expect Peak Performance. We strive for excellence and empower those around us to do the same.
  • Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.
$160,000 - $275,000 a year
+ equity
 
Note: Base salary & equity will depend largely on leveling.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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